Last verified 2025-09-22 (left) · 2025-09-22 (right)

GPT-4.1 vs GPT-4.1 nano — Pricing & Capability Comparison

GPT-4.1 charges $2.00 per million input tokens and $8.00 per million output tokens. GPT-4.1 nano comes in at $0.10 / $0.40. Context windows span 128K vs 128K tokens respectively.

TL;DR — Quick Comparison

  • GPT-4.1 nano is cheaper overall: $0.50 per 1M tokens (in+out) vs $10.00 for GPT-4.1 — saves $9.50 per 1M tokens
  • Input pricing: GPT-4.1 $2.00/1M vs GPT-4.1 nano $0.10/1M
  • Output pricing: GPT-4.1 $8.00/1M vs GPT-4.1 nano $0.40/1M
  • Context window: GPT-4.1 offers more (128K vs 128K)
  • Use our calculator below to estimate costs for your specific usage pattern

Input price (per 1M)

GPT-4.1

$2.00

GPT-4.1 nano

$0.10

GPT-4.1 nano leads here

Output price (per 1M)

GPT-4.1

$8.00

GPT-4.1 nano

$0.40

GPT-4.1 nano leads here

Context window

GPT-4.1

128,000 tokens

GPT-4.1 nano

128,000 tokens

GPT-4.1 leads here

Cached input

GPT-4.1

Not published

GPT-4.1 nano

Not published

No published data

Cost comparison for 10K-token workloads

Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.

ScenarioGPT-4.1GPT-4.1 nano
Balanced conversation
50% input · 50% output
$0.0500$0.0025
Input-heavy workflow
80% input · 20% output
$0.0320$0.0016
Generation heavy
30% input · 70% output
$0.0620$0.0031
Cached system prompt
90% cached input · 10% fresh output
$0.0260$0.0013

Frequently asked questions

Which is cheaper: GPT-4.1 or GPT-4.1 nano?

GPT-4.1 nano is cheaper for input tokens at $0.10 per 1M tokens compared to $2.00. For output, GPT-4.1 nano costs $0.40 per 1M tokens versus $8.00 for GPT-4.1.

What is the cost per 1M tokens for GPT-4.1?

GPT-4.1 pricing: $2.00 per 1M input tokens and $8.00 per 1M output tokens. Context window: 128,000 tokens.

What is the cost per 1M tokens for GPT-4.1 nano?

GPT-4.1 nano pricing: $0.10 per 1M input tokens and $0.40 per 1M output tokens. Context window: 128,000 tokens.

How much does it cost per 1K tokens?

Per 1K tokens: GPT-4.1 costs $0.0020 input / $0.0080 output. GPT-4.1 nano costs $0.0001 input / $0.0004 output. This is useful for calculating small-scale usage costs.

Which model supports a larger context window?

GPT-4.1 offers 128,000 tokens (128K) versus 128K for GPT-4.1 nano.

What is the estimated monthly cost for typical usage?

For a typical workload of 10M input + 2M output tokens per month: GPT-4.1 would cost approximately $36.00, while GPT-4.1 nano would cost $1.80. GPT-4.1 nano is more economical for this usage pattern.

Do these models support prompt caching?

GPT-4.1 does not publish cached pricing. GPT-4.1 nano does not publish cached pricing.

Which model is best for my use case?

Choose GPT-4.1 nano for cost-sensitive applications with high input volume. Choose GPT-4.1 if you need 128K context for long documents or conversations. Consider prompt caching if you have repeated context. Use our token calculator to model your specific usage pattern.

Related resources

GPT-4.1 vs GPT-4.1 nano Pricing (2025) — Cost per 1M Tokens Comparison | LLM Practical Experience Hub